About the Role
We are looking for a Senior Machine Learning / AI Engineer to help design, build, test and deploy machine learning and AI-based systems for our BullzAI product line.
This role is ideal for someone who enjoys working with real-world data, building practical AI systems, and turning machine learning concepts into reliable software features.
Key Responsibilities
- Design, train, evaluate and improve machine learning models.
- Work with structured and unstructured data from high-speed, high-throughput systems.
- Develop supervised and unsupervised machine learning approaches.
- Research, design and prototype deep learning models where appropriate.
- Prepare datasets, engineer features and validate model performance.
- Support model deployment, monitoring, versioning and continuous improvement.
- Work with software developers to integrate models into product environments.
- Help define scalable and maintainable AI/ML development practices.
- Document model design, assumptions, results, limitations and operational requirements.
- Communicate model behaviour and results clearly to technical and non-technical stakeholders.
Required Qualifications
- Strong hands-on experience building machine learning models for real-world applications.
- Strong experience with Python and common machine learning frameworks.
- Strong understanding of supervised learning, unsupervised learning, classification, anomaly detection and model evaluation.
- Experience preparing datasets, engineering features and validating model performance.
- Ability to write clean, reliable and maintainable code.
- Strong analytical and problem-solving skills.
- Ability to work with incomplete, noisy or complex real-world data.
- Ability to communicate technical concepts clearly.
Nice to Have
- Experience with authentication, identity, cybersecurity, behavioural analytics or anomaly detection.
- Experience with deep learning, neural networks or sequence modelling.
- Experience with MLOps, model monitoring, model deployment or feature stores.
- Experience with GenAI, LLMs, RAG or prompt engineering.
- Experience working with APIs, production software systems or real-time scoring environments.
- Experience working with high-volume or low-latency data environments.
Why INETCO?
At INETCO, you'll be part of a supportive, forward-thinking team building technology that helps financial institutions improve payment intelligence and resilience. We value accountability, curiosity and people who take pride in their work - and we offer the stability of a long-term role with room to grow.
** Please submit a cover letter with your application**
